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Relationship between portfolio diversification and value at risk: Empirical evidence

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  • Kiani, Khurshid M.

Abstract

This research explores the risk associated with the stocks prices in the seventeen selected companies that are listed in Indian BSE (100) National as well as portfolios of investment that are constructed from these seventeen companies employed. Additionally, for considering the possibility of international diversification, construction of portfolios of investment form stock price indexes in various emerging markets and developed countries of the world is considered. Correlations for domestically as well as internationally diversified portfolios are computed to unveil the relationship between stock prices of various firms as well as domestic and internationally diversified portfolios of investments. Further, to understand the effect of diversification on the risk associated with each of the portfolios of investments employed, value at risk analysis (VaR) is undertaken for studying the benefits associated with domestic as well as international diversification (if any).

Suggested Citation

  • Kiani, Khurshid M., 2011. "Relationship between portfolio diversification and value at risk: Empirical evidence," Emerging Markets Review, Elsevier, vol. 12(4), pages 443-459.
    • Handle: RePEc:eee:ememar:v:12:y:2011:i:4:p:443-459
    DOI: 10.1016/j.ememar.2010.12.004
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    2. Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2014. "Multifractality and value-at-risk forecasting of exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 71-81.
    3. Agata Gemzik-Salwach, 2012. "The Use Of A Value At Risk Measure For The Analysis Of Bank Interest Margins," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(4), pages 15-29, February.

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    More about this item

    Keywords

    Stock returns; Local diversification; Non-normality; Correlation; Value-at-risk;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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